DeepFilterNet
bark
DeepFilterNet | bark | |
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10 | 67 | |
1,969 | 32,784 | |
- | 3.8% | |
8.9 | 5.4 | |
9 days ago | 13 days ago | |
Python | Jupyter Notebook | |
GNU General Public License v3.0 or later | MIT License |
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DeepFilterNet
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Anyone know of a good TTS pipeline for raw speech data?
You mean remove background noise and transcribe? Then you can use DeepFilterNet to remove noise, and Whisper to transcribe.
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Open Source Libraries
Rikorose/DeepFilterNet: A Low Complexity Speech Enhancement Framework for Full-Band Audio (48kHz) using on Deep Filtering
- DeepFilterNet: Noise supression using deep filtering
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Linux Audio Noise suppression using deep filtering in Rust
It looks like the library in Rust is using `tract-onnx` to do the inference: https://github.com/Rikorose/DeepFilterNet/blob/2a84d2a1750a5... I am wondering whether using Python for research, training in big data center, and Rust at edge for efficient inference would be a trend in the future. We do have a larger community of C++ right now for inference (e.g. ggml). But Rust crate as component to build applications of AI is joy to use.
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Real-Time Noise Suppression for PipeWire writen in Rust
Repo: https://github.com/Rikorose/DeepFilterNet
bark
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Exploring Bark, the Open Source Text-to-Speech Model
!pip install git+https://github.com/suno-ai/bark.git
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AI-generated sad girl with piano performs the text of the MIT License
To my knowledge, the model being used for this is "chirp" which is 'based on' bark[1], an AI text to speech model.
The github page for bark links to a page about chirp, which returns a 404 page for me [2]. that the model for suno.ai's song generator isn't too much different than the text to speech model.
My hunch is that it was something like a coincidence that the bark model was capable of producing music, and that was spun off into this product. Unfortunately, there seems to still be issues with bark when generating long (like book length) spoken audio. Which is too bad, as someone who's worked jobs that require lots of driving, it would be awesome to be able to have any text read to me in a natural sounding voice.
[1]https://github.com/suno-ai/bark
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Generating music in the waveform domain (2020)
Stable-audio and MusicGen sounds better than Jukebox.
But the best so far is Suno.ai ( https://app.suno.ai ) especially with their V3 model they have very impressive results, the fidelity is not studio quality but they're getting very close.
It's very likely based on their TTS model they have released before Bark, but trained on more data and with higher resolution.
https://github.com/suno-ai/bark
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Stable-Audio-Demo
https://github.com/suno-ai/bark
> Bark was developed for research purposes. It is not a conventional text-to-speech model but instead a fully generative text-to-audio model, which can deviate in unexpected ways from provided prompts. Suno does not take responsibility for any output generated. Use at your own risk, and please act responsibly.
I've generated probably >200 songs now with Suno, of which perhaps 10 have been any good, and I can't detect any pattern in terms of the outputs.
Here's another one which is pretty good. I accidentally copied and pasted the prompt and lyrics, and it's amazing to me how 'musically' it renders the prompt:
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Suno AI
hahah wow! cool :-)
PS: OT, I am reading this Bark thing(https://github.com/suno-ai/bark). Can I run it locally on a Macbook 2015 with 8GB RAM?
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SDXL + SVD + Suno AI
I have it locally. The model is on huggingface. It runs with about 8GB VRAM.
- [discussion] text to voice generation for textbooks
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Open Source Libraries
suno-ai/bark
- Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning
- FLaNK Stack Weekly 2 October 2023
What are some alternatives?
NoiseTorch - Real-time microphone noise suppression on Linux.
tortoise-tts - A multi-voice TTS system trained with an emphasis on quality
audio-webui - A webui for different audio related Neural Networks
SadTalker - [CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
noise-repellent - Lv2 suite of plugins for broadband noise reduction
Retrieval-based-Voice-Conversion-WebUI - Easily train a good VC model with voice data <= 10 mins!
PiDTLN - Apply machine learning model DTLN for noise suppression and acoustic echo cancellation on Raspberry Pi
whisper.cpp - Port of OpenAI's Whisper model in C/C++
wenet - Production First and Production Ready End-to-End Speech Recognition Toolkit
TTS - 🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
rnnoise - Recurrent neural network for audio noise reduction
text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.